Treffer: A branch-and-bound algorithm with growing datasets for large-scale parameter estimation
Title:
A branch-and-bound algorithm with growing datasets for large-scale parameter estimation
Authors:
Source:
European journal of operational research 316(1), 36-45 (2024). doi:10.1016/j.ejor.2024.02.020
European journal of operational research 316(1), [36]-45 (2024). doi:10.1016/j.ejor.2024.02.020
European journal of operational research 316(1), [36]-45 (2024). doi:10.1016/j.ejor.2024.02.020
Publisher Information:
Elsevier BV, 2024.
Publication Year:
2024
Subject Terms:
Technology, Operations Research, Science & Technology, Spatial branch and bound algorithm, Operations Research & Management Science, MODELS, Social Sciences, 46 Information and computing sciences, Regression, Management, DETERMINISTIC GLOBAL OPTIMIZATION, PROGRAMS, Nonlinear programming, Business & Economics, Global optimization, RSM LIS, Large scale optimization, 49 Mathematical sciences, PARAMETER-ESTIMATION, 40 Engineering
Document Type:
Fachzeitschrift
Article
Language:
English
ISSN:
0377-2217
DOI:
10.1016/j.ejor.2024.02.020
DOI:
10.18154/rwth-2024-02847
DOI:
10.34734/fzj-2024-03065
Access URL:
Rights:
CC BY
Accession Number:
edsair.doi.dedup.....dc2abe19d6a2f5de9b12b90790ed8acf
Database:
OpenAIRE
Weitere Informationen
European journal of operational research 316(1), [36]-45 (2024). doi:10.1016/j.ejor.2024.02.020
Published by Elsevier, Amsterdam [u.a.]